probabilistic graphical models
2 episodes mention this concept
lexfridmanAug 14, 2020Brain-Inspired AI: Understanding and Engineering Intelligence with Dileep George
ScienceBrain-Inspired AIHierarchical Temporal Memory (HTM)Recursive Cortical Networks (RCN)Blue Brain Project- lexfridmanFeb 21, 2020
Andrew Ng's Expert Advice on Getting Started and Building a Career in Deep Learning and AI
TechnologyDeep LearningMachine LearningNeural NetworksGradient Descent
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Related concepts
Concepts that appear alongside probabilistic graphical models across episodes.
- supervised learning
- hodgkin-huxley models
- python programming
- inference (in ai/neuroscience)
- habit formation
- reinforcement learning (deep rl)
- debugging machine learning algorithms
- computational neuroscience
- neural networks
- knowledge graphs
- visual cortex
- model architecture modification
- world model (cognitive science)
- self-taught programmers
- data collection strategy
- practical know-how
- optimization algorithms
- overfitting
- linear algebra
- deep learning